Run
9

Run 9

Task 91 (Learning Curve) pendigits Uploaded 06-04-2014 by Jan van Rijn
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Flow

weka.BayesNet_K2(1)Weka implementation of BayesNet
weka.BayesNet_K2(1)_Dtrue
weka.BayesNet_K2(1)_Qweka.classifiers.bayes.net.search.local.K2
weka.K2(1)_P1
weka.K2(1)_SBAYES

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9879 ± 0.0019
Per class
F measure
0.8764 ± 0.0094
Per class
Kappa
0.8644 ± 0.0101
KB relative information score
0.8804 ± 0.0086
Mean absolute error
0.0253 ± 0.0016
Mean prior absolute error
0.18 ± 0
Number of instances
109920
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.8857 ± 0.0086
Per class
Predictive accuracy
0.8779 ± 0.0091
Prior entropy
3.3208 ± 0.0002
Recall
0.8779 ± 0.0091
Per class
Relative absolute error
0.1403 ± 0.0091
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.1439 ± 0.0055
Root relative squared error
0.4798 ± 0.0184
SciMark benchmark
1973.6162